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Research in the area of Information and Decision Systems spans a variety of topics, including robust signal processing that deals with developing statistical modeling and processing techniques for limited informational contexts (cases where "data/information available is insufficient relative to the complexity of the process or system"), distributed and networked signal processing to deal with noisy distributed information from multiple sources that must be fused under communication constraints, as well as control and decision theory.
Research in these areas straddle a wide variety of applications ranging from mobile communications, echo-cancellation, sensor networks, sensor array processing, and image processing. The goal of the research is twofold: 1) understand fundamental limits to achievable quality of information; 2) develop general as well as application specific algorithms.
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